Cross-validation and permutations in MVPA: validity of permutation strategies and power of cross-validation schemes.
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Cross-validation and permutations in MVPA: validity of permutation strategies and power of cross-validation schemes.
Authors
Keywords
MVPA, Cross-validation, Permutation test, Statistical validity, Statistical power
Journal
NEUROIMAGE
Volume -, Issue -, Pages 118145
Publisher
Elsevier BV
Online
2021-05-05
DOI
10.1016/j.neuroimage.2021.118145
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multimodal surface matching with higher-order smoothness constraints
- (2018) Emma C. Robinson et al. NEUROIMAGE
- Optimizing fMRI experimental design for MVPA-based BCI control: Combining the strengths of block and event-related designs
- (2018) Giancarlo Valente et al. NEUROIMAGE
- Fast Gaussian Naïve Bayes for searchlight classification analysis
- (2017) Marlis Ontivero-Ortega et al. NEUROIMAGE
- Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines
- (2017) Gaël Varoquaux et al. NEUROIMAGE
- Classification based hypothesis testing in neuroscience: Below-chance level classification rates and overlooked statistical properties of linear parametric classifiers
- (2016) Hamidreza Jamalabadi et al. HUMAN BRAIN MAPPING
- Valid population inference for information-based imaging: From the second-level t -test to prevalence inference
- (2016) Carsten Allefeld et al. NEUROIMAGE
- A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives
- (2015) John-Dylan Haynes NEURON
- MSM: A new flexible framework for Multimodal Surface Matching
- (2014) Emma C. Robinson et al. NEUROIMAGE
- Permutation inference for the general linear model
- (2014) Anderson M. Winkler et al. NEUROIMAGE
- The impact of study design on pattern estimation for single-trial multivariate pattern analysis
- (2014) Jeanette A. Mumford et al. NEUROIMAGE
- Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictions
- (2014) Quentin Noirhomme et al. NeuroImage-Clinical
- The WU-Minn Human Connectome Project: An overview
- (2013) David C. Van Essen et al. NEUROIMAGE
- Function in the human connectome: Task-fMRI and individual differences in behavior
- (2013) Deanna M. Barch et al. NEUROIMAGE
- The advantage of brief fMRI acquisition runs for multi-voxel pattern detection across runs
- (2012) Marc N. Coutanche et al. NEUROIMAGE
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses
- (2011) Jeanette A. Mumford et al. NEUROIMAGE
- Introduction to machine learning for brain imaging
- (2010) Steven Lemm et al. NEUROIMAGE
- The Intra-Cluster Correlation Coefficient in Cluster Randomized Trials: A Review of Definitions
- (2009) Sandra M. Eldridge et al. INTERNATIONAL STATISTICAL REVIEW
- Multivariate analysis of fMRI time series: classification and regression of brain responses using machine learning
- (2008) Elia Formisano et al. MAGNETIC RESONANCE IMAGING
- Machine learning classifiers and fMRI: A tutorial overview
- (2008) Francisco Pereira et al. NEUROIMAGE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now